Too great to act in solidarity: The negative relationship between collective narcissism and solidarity‐based collective action
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Abstract Three studies examined the association between narcissistic identification with one’s advantaged in‐group and engagement in solidarity‐based collective action. Drawing on theory and past research, a negative effect of collective narcissism on solidarity‐based collective action was expected. A two‐wave longitudinal study ( N = 162) found that Polish participants’ narcissistic, but not secure, national identification decreased their willingness to engage in collective action in solidarity with refugees over time. A field study ( N = 258) performed during a mass protest against a proposed abortion ban showed that men’s gender‐based collective narcissism was a negative predictor of solidarity‐based engagement (operationalized as protest behavior and collective action intentions) and this effect was mediated by lowered empathy for women. Finally, a web‐based survey ( N = 1,992) revealed that heterosexual/cisgender individuals’ collective narcissism was negatively associated with collective action intentions in support of LGBT rights and that this effect was sequentially mediated by increased intergroup anxiety and decreased empathy for LGBT people. Theoretical implications of the present findings, research limitations, and future directions are discussed.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it